Practical Applications of Data Mining

7.7 exerCises 329

interval. On the other hand, if the interval is too small, it may not be easy

for the generated rules to have sufficient support so that only a few rules

will be found.

7.6 CHAPTER SUMMARY

Clustering is a very powerful and effective tool used for data mining to dis-

cover interesting patterns from large collections of data. As a method of data

mining, clustering can be used for virtually any type of data. The main goals

of clustering are to partition the database by grouping data items based on the

similarities of the data properties and to present them as knowledge in the

form of decision rules. This chapter started with an introduction to important

clustering concepts, including various definitions and types of clusters, ...